---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: mask
    dtype: image
  splits:
  - name: train
    num_bytes: 68218679
    num_examples: 42
  download_size: 68222945
  dataset_size: 68218679
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
task_categories:
- image-segmentation
size_categories:
- n<1K
---

# Peachpear Flower Segmentation

A dataset for semantic segmentation of peach and pear flowers. The dataset contains 42 images with pixel-level mask annotations.

This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.

## Citation

```bibtex
@ARTICLE{8392727,
author={Dias, Philipe A. and Tabb, Amy and Medeiros, Henry},
journal={IEEE Robotics and Automation Letters},
title={Multispecies Fruit Flower Detection Using a Refined Semantic Segmentation Network},
year={2018},
volume={3},
number={4},
pages={3003-3010},
doi={10.1109/LRA.2018.2849498}
}
```

https://data.nal.usda.gov/dataset/data-multi-species-fruit-flower-detection-using-refined-semantic-segmentation-network